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Record W2922414646 · doi:10.1093/jcag/gwz006.102

A103 COMBINATORIAL EFFECT OF EARLY LIFE ANTIBIOTIC EXPOSURE AND HIGH-FAT DIET ON COLITIS SUSCEPTIBILITY

2019· article· en· W2922414646 on OpenAlexaff
K. Wayne Marshall, Ashleigh Goethel, Kenneth Croitoru

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsMount Sinai HospitalUniversity of Toronto
Fundersnot available
KeywordsWeaningAmoxicillinColitisAntibioticsMedicineFecesGut floraInflammatory bowel diseaseInternal medicineGastroenterologyImmune systemWeight lossWeight gainPhysiologyBiologyImmunologyObesityBody weightDiseaseMicrobiology

Abstract

fetched live from OpenAlex

The etiology of Inflammatory Bowel Disease (IBD) is multifactorial, involving genetics, the immune response, environment and the gut microbiota. Early life antibiotic exposure and a high-fat ‘Western’ diet have both been linked to increased risk of IBD. We hypothesized that genetically susceptible Nod2-deficient mice that received a ‘double hit’ of early life antibiotics and high-fat diet (HFD) throughout life would be more susceptible to colitis. Following birth, Nod2-/- mice were given amoxicillin-supplemented or control water until weaning (day 21). At weaning, mice received either normal diet (ND, 18% kcal from fat) or HFD (45% kcal from fat, Envigo). Stool samples and weights were collected weekly starting at weaning. On days 56–61, 3.5% DSS was administered to induce colitis. Mice were sacrificed and tissues harvested for analysis on day 64. At weaning, mice treated with amoxicillin weighed more than water-treated mice. Water + HFD mice displayed a trend for increased weight gain over time compared to all other groups. As expected, from days 56–61, mice treated with DSS lost weight, however, mice on HFD lost significantly less weight than ND mice. DSS treatment resulted in shortened colon length, but no difference was seen between HFD and ND treatment groups. Interestingly, amoxicillin + HFD treatment resulted in significantly higher fat pad weight than other treatment groups, and while DSS resulted in reduction of fat pad weight, amoxicillin + HFD mice had significantly more fat pad remaining than other DSS treatment groups. Fecal lipocalin-2 (Lcn-2) did not differ between groups at day 56, before colitis induction. Increased Lcn-2 levels were observed in DSS-treated mice, and amoxicillin + HFD mice had increased Lcn-2 compared to water + HFD and amoxicillin + ND mice on day 64. While water + HFD mice displayed greater weight gain trends overall, amoxicillin + HFD mice had greater fat pad weights, in both DSS and non-DSS groups. In contrast to what was hypothesized, HFD prevented dramatic weight changes upon DSS administration. Fecal Lcn-2 levels were increased in amoxicillin + HFD mice following DSS, suggesting that while weight change was reduced, these mice were still experiencing significant inflammation. Together, this indicates that a combination of HFD and early life antibiotics could lead to alterations of the gut microbiota and influence severity of DSS. Analysis of the microbiota in these mice is currently underway. These data reinforce the hypothesis that various environmental factors can have combinatorial effects on colitis susceptibility, possibly via gut microbiota manipulation. This work was supported by a CAG Summer Studentship Award. CAG

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.003
GPT teacher head0.192
Teacher spread0.190 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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